Study on the Output Power of the PV Power Plant Model Based on ANFIS

Hai Feng Liang; Hai Hong Wang; Zi Xing Liu

doi:10.4028/www.scientific.net/AMR.724-725.190

Paper Titles

Key Technologies Research of New Generation Concentrating Photovoltaic
p.171

Preparation and Optical Properties of Gallium-Titanium Codoped Zinc Oxide Transparent Conductive Films for Solar Cells
p.176

Research Progress of Solar Pond Technology
p.180

Study on Single-Axis Tracking PV System Measurement
p.185

Study on the Output Power of the PV Power Plant Model Based on ANFIS
p.190

The Research and Design of Automatic Tracking System of the Light Based on the LOGO Controller
p.195

The Status and Trends of Crystalline Silicon PV Module Recycling Treatment Methods in Europe and China
p.200

Acid-Alkaline Two-Stage Pretreatments of Corn Stover for Enhancing Enzymatic Saccharification
p.207

Analysis on Biomass Resources and Potential of Developing Biomass Energy in Yunnan Province
p.212

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 724-725Study on the Output Power of the PV Power Plant...

Study on the Output Power of the PV Power Plant Model Based on ANFIS

Abstract:

in order to study the output power of PV plant in depth, effective and reasonable methods of modeling for PV power plant are explored and adaptive neuro-fuzzy inference system (ANFIS) based on Takagi-Sugeno (TS) model is proposed in this paper. According to the power output characteristics of PV system and a variety of factors which impact, three kinds of model of PV plant power output are established based on subtractive clustering ANFIS. After model test and calculation for confidence interval estimate of power output, the results show that the accuracy of the model is able to meet the practical engineering application requirements and the second model is optimal by comparison. In conclusion, ANFIS provides an innovative and feasible model establishment method for the power output of PV plant.